NAO robot obstacle avoidance based on fuzzy Q-learning
نویسندگان
چکیده
منابع مشابه
Embedded Learning Robot with Fuzzy Q-learning for Obstacle Avoidance Behavior
Fuzzy Q-learning is extending of Q-learning algorithm that uses fuzzy inference system to enable Qlearning holding continuous action and state. This learning has been implemented in various robot learning application like obstacle avoidance and target searching. However, most of them have not been realized in embedded robot. This paper presents implementation of fuzzy Q-learning for obstacle av...
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ژورنال
عنوان ژورنال: Industrial Robot: the international journal of robotics research and application
سال: 2019
ISSN: 0143-991X,0143-991X
DOI: 10.1108/ir-01-2019-0002